Pandas Profiling Report

Dataset statistics

Number of variables	27
Number of observations	5032
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.0 MiB
Average record size in memory	216.0 B

Variable types

Numeric	17
Categorical	10

Alerts

`PolicyholderName` has a high cardinality: 5031 distinct values	High cardinality
`PlanName` has a high cardinality: 5032 distinct values	High cardinality
`PolicyholderID` is highly correlated with `IncomeofPolicyholderperannum` and 9 other fields	High correlation
`IncomeofPolicyholderperannum` is highly correlated with `PolicyholderID` and 2 other fields	High correlation
`Planenrolledyear` is highly correlated with `PolicyholderID` and 12 other fields	High correlation
`PolicyTerminyears` is highly correlated with `PolicyholderID` and 9 other fields	High correlation
`Sumassured` is highly correlated with `PolicyholderID` and 8 other fields	High correlation
`YearofMaturity` is highly correlated with `PolicyholderID` and 10 other fields	High correlation
`YearlyPremium` is highly correlated with `PolicyholderID` and 8 other fields	High correlation
`MonthlyPremium` is highly correlated with `PolicyholderID` and 8 other fields	High correlation
`NumberofPremiumspaidinyears` is highly correlated with `PolicyholderID` and 12 other fields	High correlation
`NumberofPremiumspaidtilldateinmonths` is highly correlated with `PolicyholderID` and 12 other fields	High correlation
`PremiumPaidtilldate` is highly correlated with `PolicyholderID` and 11 other fields	High correlation
`latepayment0to3months` is highly correlated with `Planenrolledyear` and 4 other fields	High correlation
`Totaldelayedmonths` is highly correlated with `Planenrolledyear` and 7 other fields	High correlation
`RiskScore` is highly correlated with `Planenrolledyear` and 6 other fields	High correlation
`Default` is highly correlated with `Planenrolledyear` and 5 other fields	High correlation
`latepayment6to9months` is highly correlated with `Totaldelayedmonths`	High correlation
`latepayment9to12months` is highly correlated with `Morethan12monthsdelay` and 1 other fields	High correlation
`Morethan12monthsdelay` is highly correlated with `latepayment9to12months` and 1 other fields	High correlation
`PolicyholderAgeinyears` is highly correlated with `MaritalStatus` and 1 other fields	High correlation
`MaritalStatus` is highly correlated with `PolicyholderAgeinyears`	High correlation
`Nominee` is highly correlated with `PolicyholderAgeinyears`	High correlation
`Accomodation` is highly correlated with `IncomeofPolicyholderperannum`	High correlation
`PolicyholderID` is uniformly distributed	Uniform
`PolicyholderName` is uniformly distributed	Uniform
`PlanName` is uniformly distributed	Uniform
`PolicyholderID` has unique values	Unique
`PlanName` has unique values	Unique
`latepayment6to9months` has 4781 (95.0%) zeros	Zeros

Reproduction

Analysis started	2023-03-19 14:57:57.793570
Analysis finished	2023-03-19 14:58:56.665340
Duration	58.87 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

PolicyholderID
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	5032
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2516.876391

Minimum	1
Maximum	5033
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	1
5-th percentile	252.55
Q1	1258.75
median	2516.5
Q3	3775.25
95-th percentile	4781.45
Maximum	5033
Range	5032
Interquartile range (IQR)	2516.5

Descriptive statistics

Standard deviation	1453.16422
Coefficient of variation (CV)	0.577368132
Kurtosis	-1.200233405
Mean	2516.876391
Median Absolute Deviation (MAD)	1258.5
Skewness	0.0002396935882
Sum	12664922
Variance	2111686.251
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
3353	1	< 0.1%
3360	1	< 0.1%
3359	1	< 0.1%
3358	1	< 0.1%
3357	1	< 0.1%
3356	1	< 0.1%
3355	1	< 0.1%
3354	1	< 0.1%
3352	1	< 0.1%
Other values (5022)	5022	99.8%

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
5033	1	< 0.1%
5032	1	< 0.1%
5031	1	< 0.1%
5030	1	< 0.1%
5029	1	< 0.1%
5028	1	< 0.1%
5027	1	< 0.1%
5026	1	< 0.1%
5025	1	< 0.1%
5024	1	< 0.1%

PolicyholderName
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	5031
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Memory size	39.4 KiB

Irfan Khan	2
Sarat Sharma	1
V Arumugam	1
Sathyavathi Putta	1
Vijay Mech	1
Other values (5026)	5026

Length

Max length	43
Median length	31
Mean length	13.80584261
Min length	1

Characters and Unicode

Total characters	69471
Distinct characters	114
Distinct categories	16 ?
Distinct scripts	8 ?
Distinct blocks	10 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5030 ?
Unique (%)	> 99.9%

Sample

1st row	Sarat Sharma
2nd row	Sandeep Balasubramanian
3rd row	Prem Kumar
4th row	Sajal Toshniwal
5th row	Chandrakumar

Common Values

Value	Count	Frequency (%)
Irfan Khan	2	< 0.1%
Sarat Sharma	1	< 0.1%
V Arumugam	1	< 0.1%
Sathyavathi Putta	1	< 0.1%
Vijay Mech	1	< 0.1%
Sudhakharan Mohanram	1	< 0.1%
Shiwalika Gupta	1	< 0.1%
Ravichandran Arumugam	1	< 0.1%
Mohammed Junaid	1	< 0.1%
Manoj Veer	1	< 0.1%
Other values (5021)	5021	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kumar	220	2.3%
s	84	0.9%
raj	70	0.7%
r	54	0.6%
m	54	0.6%
k	54	0.6%
suresh	50	0.5%
jain	49	0.5%
srinivasan	48	0.5%
ramesh	47	0.5%
Other values (4282)	9011	92.5%

Most occurring characters

Value	Count	Frequency (%)
a	13461	19.4%
n	5538	8.0%
	4760	6.9%
r	4308	6.2%
h	4105	5.9%
i	3989	5.7%
e	2990	4.3%
u	2422	3.5%
m	2297	3.3%
s	2270	3.3%
Other values (104)	23331	33.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	54619	78.6%
Uppercase Letter	9842	14.2%
Space Separator	4760	6.9%
Other Punctuation	148	0.2%
Decimal Number	27	< 0.1%
Other Letter	19	< 0.1%
Open Punctuation	12	< 0.1%
Close Punctuation	12	< 0.1%
Connector Punctuation	8	< 0.1%
Nonspacing Mark	6	< 0.1%
Other values (6)	18	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13461	24.6%
n	5538	10.1%
r	4308	7.9%
h	4105	7.5%
i	3989	7.3%
e	2990	5.5%
u	2422	4.4%
m	2297	4.2%
s	2270	4.2%
t	1849	3.4%
Other values (29)	11390	20.9%

Uppercase Letter

Value	Count	Frequency (%)
S	1794	18.2%
R	1072	10.9%
K	956	9.7%
M	789	8.0%
A	753	7.7%
P	620	6.3%
V	603	6.1%
J	463	4.7%
N	429	4.4%
B	424	4.3%
Other values (19)	1939	19.7%

Other Letter

Value	Count	Frequency (%)
ர	3	15.8%
ي	2	10.5%
த	2	10.5%
ヴ	1	5.3%
パ	1	5.3%
ト	1	5.3%
ィ	1	5.3%
ラ	1	5.3%
ン	1	5.3%
க	1	5.3%
Other values (5)	5	26.3%

Decimal Number

Value	Count	Frequency (%)
2	7	25.9%
1	6	22.2%
5	3	11.1%
8	3	11.1%
0	3	11.1%
6	2	7.4%
7	1	3.7%
9	1	3.7%
4	1	3.7%

Other Punctuation

Value	Count	Frequency (%)
.	126	85.1%
'	9	6.1%
/	8	5.4%
@	2	1.4%
#	1	0.7%
&	1	0.7%
,	1	0.7%

Other Symbol

Value	Count	Frequency (%)
🧿	1	33.3%
♡	1	33.3%
★	1	33.3%

Nonspacing Mark

Value	Count	Frequency (%)
்	4	66.7%
ீ	2	33.3%

Currency Symbol

Value	Count	Frequency (%)
$	2	50.0%
€	2	50.0%

Space Separator

Value	Count	Frequency (%)
	4760	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	12	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	12	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	8	100.0%

Control

Value	Count	Frequency (%)
	5	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Private Use

Value	Count	Frequency (%)
	1	100.0%

Spacing Mark

Value	Count	Frequency (%)
ி	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	64449	92.8%
Common	4983	7.2%
Tamil	16	< 0.1%
Cyrillic	7	< 0.1%
Katakana	6	< 0.1%
Greek	5	< 0.1%
Arabic	4	< 0.1%
Unknown	1	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13461	20.9%
n	5538	8.6%
r	4308	6.7%
h	4105	6.4%
i	3989	6.2%
e	2990	4.6%
u	2422	3.8%
m	2297	3.6%
s	2270	3.5%
t	1849	2.9%
Other values (50)	21220	32.9%

Common

Value	Count	Frequency (%)
	4760	95.5%
.	126	2.5%
(	12	0.2%
)	12	0.2%
'	9	0.2%
_	8	0.2%
/	8	0.2%
2	7	0.1%
1	6	0.1%
	5	0.1%
Other values (17)	30	0.6%

Tamil

Value	Count	Frequency (%)
்	4	25.0%
ர	3	18.8%
த	2	12.5%
ீ	2	12.5%
க	1	6.2%
ஶ	1	6.2%
ி	1	6.2%
ச	1	6.2%
ஸ	1	6.2%

Cyrillic

Value	Count	Frequency (%)
а	2	28.6%
Я	1	14.3%
и	1	14.3%
м	1	14.3%
ѕ	1	14.3%
н	1	14.3%

Katakana

Value	Count	Frequency (%)
ヴ	1	16.7%
パ	1	16.7%
ト	1	16.7%
ィ	1	16.7%
ラ	1	16.7%
ン	1	16.7%

Arabic

Value	Count	Frequency (%)
ي	2	50.0%
ج	1	25.0%
ل	1	25.0%

Greek

Value	Count	Frequency (%)
Λ	3	60.0%
ε	2	40.0%

Unknown

Value	Count	Frequency (%)
	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	69414	99.9%
None	18	< 0.1%
Tamil	16	< 0.1%
Cyrillic	7	< 0.1%
Katakana	6	< 0.1%
Arabic	4	< 0.1%
Currency Symbols	2	< 0.1%
Misc Symbols	2	< 0.1%
PUA	1	< 0.1%
IPA Ext	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	13461	19.4%
n	5538	8.0%
	4760	6.9%
r	4308	6.2%
h	4105	5.9%
i	3989	5.7%
e	2990	4.3%
u	2422	3.5%
m	2297	3.3%
s	2270	3.3%
Other values (65)	23274	33.5%

None

Value	Count	Frequency (%)
ö	4	22.2%
Λ	3	16.7%
ŋ	2	11.1%
ε	2	11.1%
ı	2	11.1%
ē	1	5.6%
ý	1	5.6%
🧿	1	5.6%
Ɩ	1	5.6%
ơ	1	5.6%

Tamil

Value	Count	Frequency (%)
்	4	25.0%
ர	3	18.8%
த	2	12.5%
ீ	2	12.5%
க	1	6.2%
ஶ	1	6.2%
ி	1	6.2%
ச	1	6.2%
ஸ	1	6.2%

Cyrillic

Value	Count	Frequency (%)
а	2	28.6%
Я	1	14.3%
и	1	14.3%
м	1	14.3%
ѕ	1	14.3%
н	1	14.3%

Arabic

Value	Count	Frequency (%)
ي	2	50.0%
ج	1	25.0%
ل	1	25.0%

Currency Symbols

Value	Count	Frequency (%)
€	2	100.0%

Katakana

Value	Count	Frequency (%)
ヴ	1	16.7%
パ	1	16.7%
ト	1	16.7%
ィ	1	16.7%
ラ	1	16.7%
ン	1	16.7%

Misc Symbols

Value	Count	Frequency (%)
♡	1	50.0%
★	1	50.0%

PUA

Value	Count	Frequency (%)
	1	100.0%

IPA Ext

Value	Count	Frequency (%)
ʂ	1	100.0%

PolicyholderAgeinyears
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	643
Distinct (%)	12.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52.03196855

Minimum	28.03835616
Maximum	92.03287671
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	28.03835616
5-th percentile	33.01643836
Q1	41.02945205
median	51.03835616
Q3	62.02465753
95-th percentile	75.03410959
Maximum	92.03287671
Range	63.99452055
Interquartile range (IQR)	20.99520548

Descriptive statistics

Standard deviation	13.31552782
Coefficient of variation (CV)	0.2559105141
Kurtosis	-0.6038824772
Mean	52.03196855
Median Absolute Deviation (MAD)	10.02465753
Skewness	0.33939566
Sum	261824.8658
Variance	177.3032812
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	192	3.8%
34	23	0.5%
46.03287671	22	0.4%
54.03287671	20	0.4%
56.02465753	20	0.4%
45.01369863	20	0.4%
61.03013699	18	0.4%
52.01917808	18	0.4%
49.02465753	18	0.4%
47.03287671	17	0.3%
Other values (633)	4664	92.7%

Value	Count	Frequency (%)
28.03835616	1	< 0.1%
30.01369863	8	0.2%
30.01643836	9	0.2%
30.01917808	4	0.1%
30.02191781	7	0.1%
30.02465753	7	0.1%
30.02739726	5	0.1%
30.03013699	7	0.1%
30.03287671	6	0.1%
30.03561644	4	0.1%

Value	Count	Frequency (%)
92.03287671	1	< 0.1%
91.03287671	1	< 0.1%
91.02739726	2	< 0.1%
91.02191781	1	< 0.1%
91.01643836	1	< 0.1%
90.04109589	2	< 0.1%
90.03835616	1	< 0.1%
90.02465753	2	< 0.1%
90.01369863	1	< 0.1%
89.04109589	2	< 0.1%

IncomeofPolicyholderperannum
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2950
Distinct (%)	58.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	266466.4789

Minimum	75050
Maximum	3090130
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	75050
5-th percentile	87301
Q1	132150
median	198530
Q3	301845
95-th percentile	667110
Maximum	3090130
Range	3015080
Interquartile range (IQR)	169695

Descriptive statistics

Standard deviation	223933.3365
Coefficient of variation (CV)	0.8403808892
Kurtosis	23.84377723
Mean	266466.4789
Median Absolute Deviation (MAD)	77510
Skewness	3.680713781
Sum	1340859322
Variance	5.01461392 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
637640	134	2.7%
737620	92	1.8%
437580	68	1.4%
537470	65	1.3%
437620	57	1.1%
525110	14	0.3%
180150	14	0.3%
522130	14	0.3%
150090	13	0.3%
226440	12	0.2%
Other values (2940)	4549	90.4%

Value	Count	Frequency (%)
75050	1	< 0.1%
75060	3	0.1%
75070	6	0.1%
75080	3	0.1%
75090	5	0.1%
75100	3	0.1%
75110	3	0.1%
75120	5	0.1%
75130	9	0.2%
75140	4	0.1%

Value	Count	Frequency (%)
3090130	1	< 0.1%
2675840	1	< 0.1%
2490050	2	< 0.1%
2246540	1	< 0.1%
2051240	1	< 0.1%
1920090	1	< 0.1%
1920030	1	< 0.1%
1875130	1	< 0.1%
1875090	1	< 0.1%
1872050	1	< 0.1%

MaritalStatus
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	39.4 KiB

Married	4420
Unmarried	612

Length

Max length	9
Median length	8
Mean length	8.121621622
Min length	8

Characters and Unicode

Total characters	40868
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Unmarried
2nd row	Unmarried
3rd row	Unmarried
4th row	Unmarried
5th row	Unmarried

Common Values

Value	Count	Frequency (%)
Married	4420	87.8%
Unmarried	612	12.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
married	4420	87.8%
unmarried	612	12.2%

Most occurring characters

Value	Count	Frequency (%)
r	10064	24.6%
a	5032	12.3%
i	5032	12.3%
e	5032	12.3%
d	5032	12.3%
M	4420	10.8%
	4420	10.8%
U	612	1.5%
n	612	1.5%
m	612	1.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	31416	76.9%
Uppercase Letter	5032	12.3%
Space Separator	4420	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	10064	32.0%
a	5032	16.0%
i	5032	16.0%
e	5032	16.0%
d	5032	16.0%
n	612	1.9%
m	612	1.9%

Uppercase Letter

Value	Count	Frequency (%)
M	4420	87.8%
U	612	12.2%

Space Separator

Value	Count	Frequency (%)
	4420	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	36448	89.2%
Common	4420	10.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	10064	27.6%
a	5032	13.8%
i	5032	13.8%
e	5032	13.8%
d	5032	13.8%
M	4420	12.1%
U	612	1.7%
n	612	1.7%
m	612	1.7%

Common

Value	Count	Frequency (%)
	4420	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	40868	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	10064	24.6%
a	5032	12.3%
i	5032	12.3%
e	5032	12.3%
d	5032	12.3%
M	4420	10.8%
	4420	10.8%
U	612	1.5%
n	612	1.5%
m	612	1.5%

Nominee
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	39.4 KiB

Spouse	2447
Brother	1258
Sister	517
Mother	407
Father	403

Length

Max length	7
Median length	6
Mean length	6.25
Min length	6

Characters and Unicode

Total characters	31450
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Father
2nd row	Sister
3rd row	Father
4th row	Brother
5th row	Brother

Common Values

Value	Count	Frequency (%)
Spouse	2447	48.6%
Brother	1258	25.0%
Sister	517	10.3%
Mother	407	8.1%
Father	403	8.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
spouse	2447	48.6%
brother	1258	25.0%
sister	517	10.3%
mother	407	8.1%
father	403	8.0%

Most occurring characters

Value	Count	Frequency (%)
e	5032	16.0%
o	4112	13.1%
r	3843	12.2%
S	2964	9.4%
s	2964	9.4%
t	2585	8.2%
p	2447	7.8%
u	2447	7.8%
h	2068	6.6%
B	1258	4.0%
Other values (4)	1730	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26418	84.0%
Uppercase Letter	5032	16.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5032	19.0%
o	4112	15.6%
r	3843	14.5%
s	2964	11.2%
t	2585	9.8%
p	2447	9.3%
u	2447	9.3%
h	2068	7.8%
i	517	2.0%
a	403	1.5%

Uppercase Letter

Value	Count	Frequency (%)
S	2964	58.9%
B	1258	25.0%
M	407	8.1%
F	403	8.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	31450	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5032	16.0%
o	4112	13.1%
r	3843	12.2%
S	2964	9.4%
s	2964	9.4%
t	2585	8.2%
p	2447	7.8%
u	2447	7.8%
h	2068	6.6%
B	1258	4.0%
Other values (4)	1730	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31450	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	5032	16.0%
o	4112	13.1%
r	3843	12.2%
S	2964	9.4%
s	2964	9.4%
t	2585	8.2%
p	2447	7.8%
u	2447	7.8%
h	2068	6.6%
B	1258	4.0%
Other values (4)	1730	5.5%

Dependents
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	39.4 KiB

3	1312
2	1294
4	1219
1	1207

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5032
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
3	1312	26.1%
2	1294	25.7%
4	1219	24.2%
1	1207	24.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	1312	26.1%
2	1294	25.7%
4	1219	24.2%
1	1207	24.0%

Most occurring characters

Value	Count	Frequency (%)
3	1312	26.1%
2	1294	25.7%
4	1219	24.2%
1	1207	24.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5032	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	1312	26.1%
2	1294	25.7%
4	1219	24.2%
1	1207	24.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5032	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	1312	26.1%
2	1294	25.7%
4	1219	24.2%
1	1207	24.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5032	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	1312	26.1%
2	1294	25.7%
4	1219	24.2%
1	1207	24.0%

Accomodation
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	39.4 KiB

Rented	4962
Own	70

Length

Max length	6
Median length	6
Mean length	5.958267091
Min length	3

Characters and Unicode

Total characters	29982
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Own
2nd row	Rented
3rd row	Own
4th row	Rented
5th row	Own

Common Values

Value	Count	Frequency (%)
Rented	4962	98.6%
Own	70	1.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
rented	4962	98.6%
own	70	1.4%

Most occurring characters

Value	Count	Frequency (%)
e	9924	33.1%
n	5032	16.8%
R	4962	16.5%
t	4962	16.5%
d	4962	16.5%
O	70	0.2%
w	70	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	24950	83.2%
Uppercase Letter	5032	16.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	9924	39.8%
n	5032	20.2%
t	4962	19.9%
d	4962	19.9%
w	70	0.3%

Uppercase Letter

Value	Count	Frequency (%)
R	4962	98.6%
O	70	1.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	29982	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	9924	33.1%
n	5032	16.8%
R	4962	16.5%
t	4962	16.5%
d	4962	16.5%
O	70	0.2%
w	70	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29982	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	9924	33.1%
n	5032	16.8%
R	4962	16.5%
t	4962	16.5%
d	4962	16.5%
O	70	0.2%
w	70	0.2%

ResidenceAreaType
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	39.4 KiB

Urban	3070
Rural	1962

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	25160
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rural
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	3070	61.0%
Rural	1962	39.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	3070	61.0%
rural	1962	39.0%

Most occurring characters

Value	Count	Frequency (%)
r	5032	20.0%
a	5032	20.0%
U	3070	12.2%
b	3070	12.2%
n	3070	12.2%
R	1962	7.8%
u	1962	7.8%
l	1962	7.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	20128	80.0%
Uppercase Letter	5032	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	5032	25.0%
a	5032	25.0%
b	3070	15.3%
n	3070	15.3%
u	1962	9.7%
l	1962	9.7%

Uppercase Letter

Value	Count	Frequency (%)
U	3070	61.0%
R	1962	39.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25160	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	5032	20.0%
a	5032	20.0%
U	3070	12.2%
b	3070	12.2%
n	3070	12.2%
R	1962	7.8%
u	1962	7.8%
l	1962	7.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25160	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	5032	20.0%
a	5032	20.0%
U	3070	12.2%
b	3070	12.2%
n	3070	12.2%
R	1962	7.8%
u	1962	7.8%
l	1962	7.8%

PlanName
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	5032
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	39.4 KiB

CHSBC-01	1
CHSBC-3352	1
CHSBC-3359	1
CHSBC-3358	1
CHSBC-3357	1
Other values (5027)	5027

Length

Max length	10
Median length	10
Mean length	9.781796502
Min length	8

Characters and Unicode

Total characters	49222
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5032 ?
Unique (%)	100.0%

Sample

1st row	CHSBC-01
2nd row	CHSBC-02
3rd row	CHSBC-03
4th row	CHSBC-04
5th row	CHSBC-05

Common Values

Value	Count	Frequency (%)
CHSBC-01	1	< 0.1%
CHSBC-3352	1	< 0.1%
CHSBC-3359	1	< 0.1%
CHSBC-3358	1	< 0.1%
CHSBC-3357	1	< 0.1%
CHSBC-3356	1	< 0.1%
CHSBC-3355	1	< 0.1%
CHSBC-3354	1	< 0.1%
CHSBC-3353	1	< 0.1%
CHSBC-3351	1	< 0.1%
Other values (5022)	5022	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chsbc-01	1	< 0.1%
chsbc-13	1	< 0.1%
chsbc-06	1	< 0.1%
chsbc-07	1	< 0.1%
chsbc-08	1	< 0.1%
chsbc-09	1	< 0.1%
chsbc-38	1	< 0.1%
chsbc-10	1	< 0.1%
chsbc-12	1	< 0.1%
chsbc-14	1	< 0.1%
Other values (5022)	5022	99.8%

Most occurring characters

Value	Count	Frequency (%)
C	10064	20.4%
H	5032	10.2%
S	5032	10.2%
B	5032	10.2%
-	5032	10.2%
1	2514	5.1%
2	2514	5.1%
3	2506	5.1%
4	2503	5.1%
5	1536	3.1%
Other values (5)	7457	15.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	25160	51.1%
Decimal Number	19030	38.7%
Dash Punctuation	5032	10.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2514	13.2%
2	2514	13.2%
3	2506	13.2%
4	2503	13.2%
5	1536	8.1%
9	1503	7.9%
8	1503	7.9%
7	1503	7.9%
6	1503	7.9%
0	1445	7.6%

Uppercase Letter

Value	Count	Frequency (%)
C	10064	40.0%
H	5032	20.0%
S	5032	20.0%
B	5032	20.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5032	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25160	51.1%
Common	24062	48.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	5032	20.9%
1	2514	10.4%
2	2514	10.4%
3	2506	10.4%
4	2503	10.4%
5	1536	6.4%
9	1503	6.2%
8	1503	6.2%
7	1503	6.2%
6	1503	6.2%

Latin

Value	Count	Frequency (%)
C	10064	40.0%
H	5032	20.0%
S	5032	20.0%
B	5032	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49222	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	10064	20.4%
H	5032	10.2%
S	5032	10.2%
B	5032	10.2%
-	5032	10.2%
1	2514	5.1%
2	2514	5.1%
3	2506	5.1%
4	2503	5.1%
5	1536	3.1%
Other values (5)	7457	15.1%

Planenrolledyear
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2016.544714

Minimum	2010
Maximum	2021
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	2010
5-th percentile	2013
Q1	2015
median	2016
Q3	2019
95-th percentile	2020
Maximum	2021
Range	11
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.601160979
Coefficient of variation (CV)	0.001289909895
Kurtosis	-0.3269901298
Mean	2016.544714
Median Absolute Deviation (MAD)	2
Skewness	-0.3474071174
Sum	10147253
Variance	6.766038439
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
2019	1609	32.0%
2015	1348	26.8%
2014	698	13.9%
2016	402	8.0%
2017	308	6.1%
2010	211	4.2%
2021	208	4.1%
2020	184	3.7%
2011	16	0.3%
2012	16	0.3%
Other values (2)	32	0.6%

Value	Count	Frequency (%)
2010	211	4.2%
2011	16	0.3%
2012	16	0.3%
2013	16	0.3%
2014	698	13.9%
2015	1348	26.8%
2016	402	8.0%
2017	308	6.1%
2018	16	0.3%
2019	1609	32.0%

Value	Count	Frequency (%)
2021	208	4.1%
2020	184	3.7%
2019	1609	32.0%
2018	16	0.3%
2017	308	6.1%
2016	402	8.0%
2015	1348	26.8%
2014	698	13.9%
2013	16	0.3%
2012	16	0.3%

PolicyTerminyears
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.08465819

Minimum	10
Maximum	30
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	10
5-th percentile	10
Q1	15
median	18
Q3	20
95-th percentile	25
Maximum	30
Range	20
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	4.432311556
Coefficient of variation (CV)	0.2450868305
Kurtosis	-0.6344702702
Mean	18.08465819
Median Absolute Deviation (MAD)	3
Skewness	0.07028843539
Sum	91002
Variance	19.64538573
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
15	1532	30.4%
20	1001	19.9%
25	1000	19.9%
18	999	19.9%
10	499	9.9%
30	1	< 0.1%

Value	Count	Frequency (%)
10	499	9.9%
15	1532	30.4%
18	999	19.9%
20	1001	19.9%
25	1000	19.9%
30	1	< 0.1%

Value	Count	Frequency (%)
30	1	< 0.1%
25	1000	19.9%
20	1001	19.9%
18	999	19.9%
15	1532	30.4%
10	499	9.9%

Sumassured
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1808465.819

Minimum	1000000
Maximum	3000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	1000000
5-th percentile	1000000
Q1	1500000
median	1800000
Q3	2000000
95-th percentile	2500000
Maximum	3000000
Range	2000000
Interquartile range (IQR)	500000

Descriptive statistics

Standard deviation	443231.1556
Coefficient of variation (CV)	0.2450868305
Kurtosis	-0.6344702702
Mean	1808465.819
Median Absolute Deviation (MAD)	300000
Skewness	0.07028843539
Sum	9100200000
Variance	1.964538573 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1500000	1532	30.4%
2000000	1001	19.9%
2500000	1000	19.9%
1800000	999	19.9%
1000000	499	9.9%
3000000	1	< 0.1%

Value	Count	Frequency (%)
1000000	499	9.9%
1500000	1532	30.4%
1800000	999	19.9%
2000000	1001	19.9%
2500000	1000	19.9%
3000000	1	< 0.1%

Value	Count	Frequency (%)
3000000	1	< 0.1%
2500000	1000	19.9%
2000000	1001	19.9%
1800000	999	19.9%
1500000	1532	30.4%
1000000	499	9.9%

YearofMaturity
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	19
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2034.629372

Minimum	2024
Maximum	2046
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	2024
5-th percentile	2025
Q1	2031.75
median	2034
Q3	2039
95-th percentile	2044
Maximum	2046
Range	22
Interquartile range (IQR)	7.25

Descriptive statistics

Standard deviation	5.287928723
Coefficient of variation (CV)	0.002598964114
Kurtosis	-0.4242265311
Mean	2034.629372
Median Absolute Deviation (MAD)	3
Skewness	-0.08833457757
Sum	10238255
Variance	27.96219018
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
2034	742	14.7%
2039	564	11.2%
2040	389	7.7%
2031	386	7.7%
2025	381	7.6%
2037	380	7.6%
2044	365	7.3%
2033	361	7.2%
2035	359	7.1%
2032	339	6.7%
Other values (9)	766	15.2%

Value	Count	Frequency (%)
2024	102	2.0%
2025	381	7.6%
2026	24	0.5%
2027	179	3.6%
2030	186	3.7%
2031	386	7.7%
2032	339	6.7%
2033	361	7.2%
2034	742	14.7%
2035	359	7.1%

Value	Count	Frequency (%)
2046	42	0.8%
2045	43	0.9%
2044	365	7.3%
2041	46	0.9%
2040	389	7.7%
2039	564	11.2%
2038	56	1.1%
2037	380	7.6%
2036	88	1.7%
2035	359	7.1%

YearlyPremium
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	180846.5819

Minimum	100000
Maximum	300000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	100000
5-th percentile	100000
Q1	150000
median	180000
Q3	200000
95-th percentile	250000
Maximum	300000
Range	200000
Interquartile range (IQR)	50000

Descriptive statistics

Standard deviation	44323.11556
Coefficient of variation (CV)	0.2450868305
Kurtosis	-0.6344702702
Mean	180846.5819
Median Absolute Deviation (MAD)	30000
Skewness	0.07028843539
Sum	910020000
Variance	1964538573
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
150000	1532	30.4%
200000	1001	19.9%
250000	1000	19.9%
180000	999	19.9%
100000	499	9.9%
300000	1	< 0.1%

Value	Count	Frequency (%)
100000	499	9.9%
150000	1532	30.4%
180000	999	19.9%
200000	1001	19.9%
250000	1000	19.9%
300000	1	< 0.1%

Value	Count	Frequency (%)
300000	1	< 0.1%
250000	1000	19.9%
200000	1001	19.9%
180000	999	19.9%
150000	1532	30.4%
100000	499	9.9%

MonthlyPremium
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15070.54849

Minimum	8333.333333
Maximum	25000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	8333.333333
5-th percentile	8333.333333
Q1	12500
median	15000
Q3	16666.66667
95-th percentile	20833.33333
Maximum	25000
Range	16666.66667
Interquartile range (IQR)	4166.666667

Descriptive statistics

Standard deviation	3693.592963
Coefficient of variation (CV)	0.2450868305
Kurtosis	-0.6344702702
Mean	15070.54849
Median Absolute Deviation (MAD)	2500
Skewness	0.07028843539
Sum	75835000
Variance	13642628.98
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
12500	1532	30.4%
16666.66667	1001	19.9%
20833.33333	1000	19.9%
15000	999	19.9%
8333.333333	499	9.9%
25000	1	< 0.1%

Value	Count	Frequency (%)
8333.333333	499	9.9%
12500	1532	30.4%
15000	999	19.9%
16666.66667	1001	19.9%
20833.33333	1000	19.9%
25000	1	< 0.1%

Value	Count	Frequency (%)
25000	1	< 0.1%
20833.33333	1000	19.9%
16666.66667	1001	19.9%
15000	999	19.9%
12500	1532	30.4%
8333.333333	499	9.9%

NumberofPremiumspaidinyears
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.455286169

Minimum	2
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	4
median	7
Q3	8
95-th percentile	10
Maximum	13
Range	11
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.601160979
Coefficient of variation (CV)	0.4029505294
Kurtosis	-0.3269901298
Mean	6.455286169
Median Absolute Deviation (MAD)	2
Skewness	0.3474071174
Sum	32483
Variance	6.766038439
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
4	1609	32.0%
8	1348	26.8%
9	698	13.9%
7	402	8.0%
6	308	6.1%
13	211	4.2%
2	208	4.1%
3	184	3.7%
12	16	0.3%
11	16	0.3%
Other values (2)	32	0.6%

Value	Count	Frequency (%)
2	208	4.1%
3	184	3.7%
4	1609	32.0%
5	16	0.3%
6	308	6.1%
7	402	8.0%
8	1348	26.8%
9	698	13.9%
10	16	0.3%
11	16	0.3%

Value	Count	Frequency (%)
13	211	4.2%
12	16	0.3%
11	16	0.3%
10	16	0.3%
9	698	13.9%
8	1348	26.8%
7	402	8.0%
6	308	6.1%
5	16	0.3%
4	1609	32.0%

NumberofPremiumspaidtilldateinmonths
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	77.46343402

Minimum	24
Maximum	156
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	24
5-th percentile	36
Q1	48
median	84
Q3	96
95-th percentile	120
Maximum	156
Range	132
Interquartile range (IQR)	48

Descriptive statistics

Standard deviation	31.21393175
Coefficient of variation (CV)	0.4029505294
Kurtosis	-0.3269901298
Mean	77.46343402
Median Absolute Deviation (MAD)	24
Skewness	0.3474071174
Sum	389796
Variance	974.3095353
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
48	1609	32.0%
96	1348	26.8%
108	698	13.9%
84	402	8.0%
72	308	6.1%
156	211	4.2%
24	208	4.1%
36	184	3.7%
144	16	0.3%
132	16	0.3%
Other values (2)	32	0.6%

Value	Count	Frequency (%)
24	208	4.1%
36	184	3.7%
48	1609	32.0%
60	16	0.3%
72	308	6.1%
84	402	8.0%
96	1348	26.8%
108	698	13.9%
120	16	0.3%
132	16	0.3%

Value	Count	Frequency (%)
156	211	4.2%
144	16	0.3%
132	16	0.3%
120	16	0.3%
108	698	13.9%
96	1348	26.8%
84	402	8.0%
72	308	6.1%
60	16	0.3%
48	1609	32.0%

PremiumPaidtilldate
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	28
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	96638.67912

Minimum	16666.66667
Maximum	200000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	16666.66667
5-th percentile	41666.66667
Q1	60000
median	83333.33333
Q3	133333.3333
95-th percentile	166666.6667
Maximum	200000
Range	183333.3333
Interquartile range (IQR)	73333.33333

Descriptive statistics

Standard deviation	45196.65902
Coefficient of variation (CV)	0.4676870527
Kurtosis	-0.9764247095
Mean	96638.67912
Median Absolute Deviation (MAD)	33333.33333
Skewness	0.4942840022
Sum	486285833.3
Variance	2042737986
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
50000	789	15.7%
66666.66667	486	9.7%
83333.33333	365	7.3%
60000	364	7.2%
87500	346	6.9%
120000	345	6.9%
166666.6667	343	6.8%
133333.3333	303	6.0%
75000	215	4.3%
162500	211	4.2%
Other values (18)	1265	25.1%

Value	Count	Frequency (%)
16666.66667	24	0.5%
25000	56	1.1%
30000	40	0.8%
33333.33333	46	0.9%
37500	56	1.1%
41666.66667	42	0.8%
45000	40	0.8%
50000	789	15.7%
58333.33333	24	0.5%
60000	364	7.2%

Value	Count	Frequency (%)
200000	17	0.3%
187500	208	4.1%
183333.3333	16	0.3%
166666.6667	16	0.3%
166666.6667	343	6.8%
162500	211	4.2%
150000	178	3.5%
135000	210	4.2%
133333.3333	303	6.0%
120000	345	6.9%

latepayment0to3months
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	39.4 KiB

0	3592
2	902
1	492
3	46

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5032
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	2

Common Values

Value	Count	Frequency (%)
0	3592	71.4%
2	902	17.9%
1	492	9.8%
3	46	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	3592	71.4%
2	902	17.9%
1	492	9.8%
3	46	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	3592	71.4%
2	902	17.9%
1	492	9.8%
3	46	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5032	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3592	71.4%
2	902	17.9%
1	492	9.8%
3	46	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	5032	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3592	71.4%
2	902	17.9%
1	492	9.8%
3	46	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5032	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3592	71.4%
2	902	17.9%
1	492	9.8%
3	46	0.9%

latepayment3to6months
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	39.4 KiB

3	4979
4	26
5	14
6	13

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5032
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	4979	98.9%
4	26	0.5%
5	14	0.3%
6	13	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	4979	98.9%
4	26	0.5%
5	14	0.3%
6	13	0.3%

Most occurring characters

Value	Count	Frequency (%)
3	4979	98.9%
4	26	0.5%
5	14	0.3%
6	13	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5032	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	4979	98.9%
4	26	0.5%
5	14	0.3%
6	13	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	5032	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	4979	98.9%
4	26	0.5%
5	14	0.3%
6	13	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5032	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	4979	98.9%
4	26	0.5%
5	14	0.3%
6	13	0.3%

latepayment6to9months
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2442368839

Minimum	0
Maximum	9
Zeros	4781
Zeros (%)	95.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	9
Range	9
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.078035795
Coefficient of variation (CV)	4.41389432
Kurtosis	17.0195761
Mean	0.2442368839
Median Absolute Deviation (MAD)	0
Skewness	4.292558595
Sum	1229
Variance	1.162161175
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	4781	95.0%
5	216	4.3%
3	18	0.4%
4	9	0.2%
7	4	0.1%
8	2	< 0.1%
6	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
0	4781	95.0%
3	18	0.4%
4	9	0.2%
5	216	4.3%
6	1	< 0.1%
7	4	0.1%
8	2	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
9	1	< 0.1%
8	2	< 0.1%
7	4	0.1%
6	1	< 0.1%
5	216	4.3%
4	9	0.2%
3	18	0.4%
0	4781	95.0%

latepayment9to12months
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.226550079

Minimum	4
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	4
5-th percentile	4
Q1	4
median	4
Q3	4
95-th percentile	4
Maximum	12
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.058958894
Coefficient of variation (CV)	0.2505492362
Kurtosis	19.89288922
Mean	4.226550079
Median Absolute Deviation (MAD)	0
Skewness	4.624771724
Sum	21268
Variance	1.121393939
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	4788	95.2%
9	167	3.3%
10	38	0.8%
5	33	0.7%
11	4	0.1%
12	2	< 0.1%

Value	Count	Frequency (%)
4	4788	95.2%
5	33	0.7%
9	167	3.3%
10	38	0.8%
11	4	0.1%
12	2	< 0.1%

Value	Count	Frequency (%)
12	2	< 0.1%
11	4	0.1%
10	38	0.8%
9	167	3.3%
5	33	0.7%
4	4788	95.2%

Morethan12monthsdelay
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	8
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.071343402

Minimum	0
Maximum	10
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	4
median	4
Q3	4
95-th percentile	5
Maximum	10
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5348866242
Coefficient of variation (CV)	0.1313784104
Kurtosis	80.03529924
Mean	4.071343402
Median Absolute Deviation (MAD)	0
Skewness	7.329881221
Sum	20487
Variance	0.2861037008
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
4	4738	94.2%
5	184	3.7%
6	42	0.8%
2	30	0.6%
10	26	0.5%
3	9	0.2%
8	2	< 0.1%
0	1	< 0.1%

Value	Count	Frequency (%)
0	1	< 0.1%
2	30	0.6%
3	9	0.2%
4	4738	94.2%
5	184	3.7%
6	42	0.8%
8	2	< 0.1%
10	26	0.5%

Value	Count	Frequency (%)
10	26	0.5%
8	2	< 0.1%
6	42	0.8%
5	184	3.7%
4	4738	94.2%
3	9	0.2%
2	30	0.6%
0	1	< 0.1%

Totaldelayedmonths
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	22
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.04431638

Minimum	9
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	9
5-th percentile	11
Q1	11
median	11
Q3	13
95-th percentile	16
Maximum	31
Range	22
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.032880066
Coefficient of variation (CV)	0.1687833499
Kurtosis	13.04963363
Mean	12.04431638
Median Absolute Deviation (MAD)	0
Skewness	3.058634527
Sum	60607
Variance	4.132601361
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
11	3148	62.6%
13	764	15.2%
12	543	10.8%
16	219	4.4%
18	82	1.6%
14	80	1.6%
17	76	1.5%
19	29	0.6%
9	22	0.4%
15	20	0.4%
Other values (12)	49	1.0%

Value	Count	Frequency (%)
9	22	0.4%
10	6	0.1%
11	3148	62.6%
12	543	10.8%
13	764	15.2%
14	80	1.6%
15	20	0.4%
16	219	4.4%
17	76	1.5%
18	82	1.6%

Value	Count	Frequency (%)
31	1	< 0.1%
29	1	< 0.1%
28	2	< 0.1%
27	2	< 0.1%
26	1	< 0.1%
25	12	0.2%
24	3	0.1%
23	10	0.2%
22	2	< 0.1%
21	8	0.2%

RiskScore
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	97
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1869644737

Minimum	0.05769230769
Maximum	1.041666667
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.4 KiB

Quantile statistics

Minimum	0.05769230769
5-th percentile	0.1066558442
Q1	0.1203703704
median	0.1527777778
Q3	0.2291666667
95-th percentile	0.375
Maximum	1.041666667
Range	0.983974359
Interquartile range (IQR)	0.1087962963

Descriptive statistics

Standard deviation	0.0955737848
Coefficient of variation (CV)	0.5111868737
Kurtosis	5.976640988
Mean	0.1869644737
Median Absolute Deviation (MAD)	0.03819444444
Skewness	1.898502381
Sum	940.8052316
Variance	0.009134348341
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.2291666667	1177	23.4%
0.1145833333	980	19.5%
0.1203703704	605	12.0%
0.130952381	282	5.6%
0.1527777778	228	4.5%
0.25	193	3.8%
0.125	178	3.5%
0.1666666667	164	3.3%
0.4583333333	159	3.2%
0.07051282051	141	2.8%
Other values (87)	925	18.4%

Value	Count	Frequency (%)
0.05769230769	3	0.1%
0.07051282051	141	2.8%
0.07638888889	13	0.3%
0.07692307692	23	0.5%
0.08333333333	28	0.6%
0.08974358974	6	0.1%
0.09090909091	2	< 0.1%
0.09166666667	12	0.2%
0.09375	2	< 0.1%
0.09848484848	2	< 0.1%

Value	Count	Frequency (%)
1.041666667	2	< 0.1%
0.75	1	< 0.1%
0.7083333333	7	0.1%
0.6666666667	8	0.2%
0.625	1	< 0.1%
0.5833333333	1	< 0.1%
0.5416666667	3	0.1%
0.5277777778	3	0.1%
0.5208333333	4	0.1%
0.5	27	0.5%

Default
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	39.4 KiB

1	2983
0	2049

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5032
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	2983	59.3%
0	2049	40.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	2983	59.3%
0	2049	40.7%

Most occurring characters

Value	Count	Frequency (%)
1	2983	59.3%
0	2049	40.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5032	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2983	59.3%
0	2049	40.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	5032	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2983	59.3%
0	2049	40.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5032	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2983	59.3%
0	2049	40.7%

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	PolicyholderID	PolicyholderName	PolicyholderAgeinyears	IncomeofPolicyholderperannum	MaritalStatus	Nominee	Dependents	Accomodation	ResidenceAreaType	PlanName	Planenrolledyear	PolicyTerminyears	Sumassured	YearofMaturity	YearlyPremium	MonthlyPremium	NumberofPremiumspaidinyears	NumberofPremiumspaidtilldateinmonths	PremiumPaidtilldate	latepayment0to3months	latepayment3to6months	latepayment9to12months	Morethan12monthsdelay	Totaldelayedmonths	RiskScore	Default
0	1	Sarat Sharma	35.000000	1747520	Unmarried	Father	3	Own	Rural	CHSBC-01	2021	10	1000000	2031	100000	8333.333333	2	24	16666.666667	0	3	4	4	11	0.458333	0
1	2	Sandeep Balasubramanian	35.000000	750060	Unmarried	Sister	1	Rented	Urban	CHSBC-02	2016	10	1000000	2026	100000	8333.333333	7	84	58333.333333	1	3	4	4	12	0.142857	1
2	3	Prem Kumar	30.032877	852060	Unmarried	Father	1	Own	Urban	CHSBC-03	2015	10	1000000	2025	100000	8333.333333	8	96	66666.666667	0	3	4	4	11	0.114583	1
3	4	Sajal Toshniwal	30.035616	750070	Unmarried	Brother	1	Rented	Urban	CHSBC-04	2017	10	1000000	2027	100000	8333.333333	6	72	50000.000000	0	3	4	5	12	0.166667	1
4	5	Chandrakumar	30.041096	1125120	Unmarried	Brother	1	Own	Urban	CHSBC-05	2014	10	1000000	2024	100000	8333.333333	9	108	75000.000000	2	3	4	4	13	0.120370	1
5	6	Charan Kumar	31.013699	750130	Unmarried	Sister	4	Rented	Rural	CHSBC-06	2015	10	1000000	2025	100000	8333.333333	8	96	66666.666667	0	3	4	4	11	0.114583	1
6	7	Prabhudev	31.038356	1492580	Unmarried	Mother	4	Own	Rural	CHSBC-07	2017	10	1000000	2027	100000	8333.333333	6	72	50000.000000	0	3	4	4	11	0.152778	1
7	8	Kaviselvan Panneerselvam	32.032877	900080	Unmarried	Sister	2	Own	Urban	CHSBC-08	2021	10	1000000	2031	100000	8333.333333	2	24	16666.666667	0	3	4	4	11	0.458333	0
8	9	Siva Priyan	33.030137	1290140	Unmarried	Father	4	Own	Urban	CHSBC-09	2016	10	1000000	2026	100000	8333.333333	7	84	58333.333333	1	3	4	4	12	0.142857	1
9	10	Anandh	34.024658	1185140	Unmarried	Mother	3	Own	Rural	CHSBC-10	2015	10	1000000	2025	100000	8333.333333	8	96	66666.666667	0	3	4	4	11	0.114583	1

Last rows

	PolicyholderID	PolicyholderName	PolicyholderAgeinyears	IncomeofPolicyholderperannum	MaritalStatus	Nominee	Dependents	Accomodation	ResidenceAreaType	PlanName	Planenrolledyear	PolicyTerminyears	Sumassured	YearofMaturity	YearlyPremium	MonthlyPremium	NumberofPremiumspaidinyears	NumberofPremiumspaidtilldateinmonths	PremiumPaidtilldate	latepayment0to3months	latepayment3to6months	latepayment9to12months	Morethan12monthsdelay	Totaldelayedmonths	RiskScore	Default
5022	5024	S N Gnana Giri	43.019178	226570	Married	Father	1	Rented	Urban	CHSBC-5023	2019	15	1500000	2034	150000	12500.0	4	48	50000.0	0	3	4	4	11	0.229167	0
5023	5025	Ramya Sai Galla Venkat	76.013699	226440	Married	Brother	4	Rented	Urban	CHSBC-5024	2017	15	1500000	2032	150000	12500.0	6	72	75000.0	0	3	4	4	11	0.152778	1
5024	5026	Pravin Terdale	50.035616	226360	Married	Spouse	1	Rented	Urban	CHSBC-5025	2015	15	1500000	2030	150000	12500.0	8	96	100000.0	0	3	4	4	11	0.114583	1
5025	5027	Subha Selvam	31.024658	226860	Unmarried	Sister	3	Rented	Rural	CHSBC-5026	2019	15	1500000	2034	150000	12500.0	4	48	50000.0	0	3	4	4	11	0.229167	0
5026	5028	Deepika Yash Chopra	47.035616	226580	Married	Spouse	2	Rented	Rural	CHSBC-5027	2017	15	1500000	2032	150000	12500.0	6	72	75000.0	1	3	4	4	12	0.166667	1
5027	5029	Narayanan Rajulu	43.027397	226650	Married	Sister	1	Rented	Rural	CHSBC-5028	2015	15	1500000	2030	150000	12500.0	8	96	100000.0	0	3	4	4	11	0.114583	1
5028	5030	Samy Babu	35.000000	226720	Unmarried	Father	1	Rented	Rural	CHSBC-5029	2019	15	1500000	2034	150000	12500.0	4	48	50000.0	0	3	4	4	11	0.229167	0
5029	5031	Sanhas Allekat	74.041096	226440	Married	Brother	2	Rented	Urban	CHSBC-5030	2015	15	1500000	2030	150000	12500.0	8	96	100000.0	1	3	4	4	12	0.125000	1
5030	5032	Subha Shree Nagarajan	62.035616	226570	Married	Spouse	1	Rented	Rural	CHSBC-5031	2019	15	1500000	2034	150000	12500.0	4	48	50000.0	0	3	4	4	11	0.229167	0
5031	5033	Martin Thomas	35.000000	226360	Unmarried	Mother	4	Rented	Urban	CHSBC-5032	2015	15	1500000	2030	150000	12500.0	8	96	100000.0	0	3	4	4	11	0.114583	1

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Letter

Decimal Number

Other Punctuation

Other Symbol

Nonspacing Mark

Currency Symbol

Space Separator

Open Punctuation

Close Punctuation

Connector Punctuation

Control

Dash Punctuation

Private Use

Spacing Mark

Most occurring scripts

Most frequent character per script

Latin

Common

Tamil

Cyrillic

Katakana

Arabic

Greek

Unknown

Most occurring blocks

Most frequent character per block

ASCII

None

Tamil

Cyrillic

Arabic

Currency Symbols

Katakana

Misc Symbols

PUA

IPA Ext

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories